Results 121 to 130 of about 5,349,001 (214)
Morphological convolutional neural network architecture for digit recognition
Deep neural networks have proved promising results in many applications and fields, but they are still assimilated to a black box. Thus, it is very useful to introduce interpretability aspects to prevent the blind application of deep networks. This paper
Hamdani, Tarek M. +4 more
core +1 more source
Predicting lysine methylation sites using a convolutional neural network
Protein lysine methylation is a particular type of post translational modification that plays an important role in both histone and non-histone function regulation in proteins.
Spadaro, Austin +2 more
core +1 more source
Deep convolutional neural network for image deconvolution
Many fundamental image-related problems involve deconvolution operators. Real blur degradation seldom complies with an ideal linear convolution model due to camera noise, saturation, image compression, to name a few.
Xu, Li +3 more
core
Multiprocessing neural network simulator
Over the last few years tremendous progress has been made in neuroscience by employing simulation tools for investigating neural network behaviour.
Kulakov, Anton
core +1 more source
Improved Nondestructive Ultrasound Molecular Imaging With Lightweight Convolutional Neural Network. [PDF]
Baek J +5 more
europepmc +1 more source
Rheumatoid arthritis classification using hybrid pretrained quantum convolutional neural network. [PDF]
Jeyamani D, Panjanathan R.
europepmc +1 more source
Enhancing face recognition privacy through the integration of differential privacy and convolutional neural network. [PDF]
Hossain MM, Rahman MM.
europepmc +1 more source
Brain Tumor Classification Using Convolutional Neural Network and Bitterling Fish Optimization Algorithm. [PDF]
Ahmed HSA, Yücel M, Rahebi J.
europepmc +1 more source
Graph Convolutional Neural Network [PDF]
Michael Edwards, Xianghua Xie
openaire +2 more sources

